Accidents

Dataset statistics

Number of variables	33
Number of observations	867372
Missing cells	927966
Missing cells (%)	3.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	218.4 MiB
Average record size in memory	264.0 B

Variable types

Categorical	16
Numeric	15
Unsupported	1
Boolean	1

Alerts

`Accident_Index` has a high cardinality: 558022 distinct values	High cardinality
`Date` has a high cardinality: 2190 distinct values	High cardinality
`Time` has a high cardinality: 1439 distinct values	High cardinality
`Local_Authority_(Highway)` has a high cardinality: 207 distinct values	High cardinality
`LSOA_of_Accident_Location` has a high cardinality: 34140 distinct values	High cardinality
`Location_Easting_OSGR` is highly correlated with `Longitude`	High correlation
`Location_Northing_OSGR` is highly correlated with `Latitude`	High correlation
`Longitude` is highly correlated with `Location_Easting_OSGR`	High correlation
`Latitude` is highly correlated with `Location_Northing_OSGR`	High correlation
`Police_Force` is highly correlated with `Local_Authority_(District)`	High correlation
`Local_Authority_(District)` is highly correlated with `Police_Force`	High correlation
`Speed_limit` is highly correlated with `Urban_or_Rural_Area`	High correlation
`Urban_or_Rural_Area` is highly correlated with `Speed_limit`	High correlation
`Location_Easting_OSGR` is highly correlated with `Longitude`	High correlation
`Location_Northing_OSGR` is highly correlated with `Latitude`	High correlation
`Longitude` is highly correlated with `Location_Easting_OSGR`	High correlation
`Latitude` is highly correlated with `Location_Northing_OSGR`	High correlation
`Police_Force` is highly correlated with `Local_Authority_(District)`	High correlation
`Local_Authority_(District)` is highly correlated with `Police_Force`	High correlation
`Speed_limit` is highly correlated with `Urban_or_Rural_Area`	High correlation
`Urban_or_Rural_Area` is highly correlated with `Speed_limit`	High correlation
`Location_Easting_OSGR` is highly correlated with `Longitude`	High correlation
`Location_Northing_OSGR` is highly correlated with `Latitude`	High correlation
`Longitude` is highly correlated with `Location_Easting_OSGR`	High correlation
`Latitude` is highly correlated with `Location_Northing_OSGR`	High correlation
`Police_Force` is highly correlated with `Local_Authority_(District)`	High correlation
`Local_Authority_(District)` is highly correlated with `Police_Force`	High correlation
`Speed_limit` is highly correlated with `Urban_or_Rural_Area`	High correlation
`Urban_or_Rural_Area` is highly correlated with `Speed_limit`	High correlation
`Location_Easting_OSGR` is highly correlated with `Location_Northing_OSGR` and 4 other fields	High correlation
`Location_Northing_OSGR` is highly correlated with `Location_Easting_OSGR` and 4 other fields	High correlation
`Longitude` is highly correlated with `Location_Easting_OSGR` and 4 other fields	High correlation
`Latitude` is highly correlated with `Location_Easting_OSGR` and 4 other fields	High correlation
`Police_Force` is highly correlated with `Location_Easting_OSGR` and 4 other fields	High correlation
`Local_Authority_(District)` is highly correlated with `Location_Easting_OSGR` and 4 other fields	High correlation
`1st_Road_Class` is highly correlated with `Road_Type` and 1 other fields	High correlation
`1st_Road_Number` is highly correlated with `2nd_Road_Number`	High correlation
`Road_Type` is highly correlated with `1st_Road_Class`	High correlation
`Speed_limit` is highly correlated with `1st_Road_Class` and 1 other fields	High correlation
`Junction_Control` is highly correlated with `2nd_Road_Class`	High correlation
`2nd_Road_Class` is highly correlated with `Junction_Control`	High correlation
`2nd_Road_Number` is highly correlated with `1st_Road_Number`	High correlation
`Weather_Conditions` is highly correlated with `Road_Surface_Conditions`	High correlation
`Road_Surface_Conditions` is highly correlated with `Weather_Conditions`	High correlation
`Urban_or_Rural_Area` is highly correlated with `Speed_limit`	High correlation
`Junction_Detail` has 867372 (100.0%) missing values	Missing
`LSOA_of_Accident_Location` has 58466 (6.7%) missing values	Missing
`Junction_Detail` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`1st_Road_Number` has 236822 (27.3%) zeros	Zeros
`2nd_Road_Number` has 669327 (77.2%) zeros	Zeros

Reproduction

Analysis started	2022-01-09 14:19:04.613977
Analysis finished	2022-01-09 14:28:41.340599
Duration	9 minutes and 36.73 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Accident_Index
Categorical

HIGH CARDINALITY

Distinct	558022
Distinct (%)	64.3%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

2.01E+12	137424
2.00913E+12	6254
2.01013E+12	5760
2.01113E+12	5402
2.00946E+12	5158
Other values (558017)	707374

Length

Max length	255
Median length	13
Mean length	11.82357282
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	557817 ?
Unique (%)	64.3%

Sample

1st row	200901BS70001
2nd row	200901BS70002
3rd row	200901BS70003
4th row	200901BS70004
5th row	200901BS70005

Common Values

Value	Count	Frequency (%)
2.01E+12	137424	15.8%
2.00913E+12	6254	0.7%
2.01013E+12	5760	0.7%
2.01113E+12	5402	0.6%
2.00946E+12	5158	0.6%
2.01144E+12	4999	0.6%
2.01146E+12	4867	0.6%
2.01046E+12	4837	0.6%
2.01044E+12	4809	0.6%
2.00944E+12	4683	0.5%
Other values (558012)	683179	78.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2.01e+12	137424	15.8%
2.00913e+12	6254	0.7%
2.01013e+12	5760	0.7%
2.01113e+12	5402	0.6%
2.00946e+12	5158	0.6%
2.01144e+12	4999	0.6%
2.01146e+12	4867	0.6%
2.01046e+12	4837	0.6%
2.01044e+12	4809	0.6%
2.00944e+12	4683	0.5%
Other values (558012)	683179	78.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Location_Easting_OSGR
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	60957
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	439350.7448

Minimum	64950
Maximum	655370
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	64950
5-th percentile	263690
Q1	375230
median	439790
Q3	523520
95-th percentile	577090
Maximum	655370
Range	590420
Interquartile range (IQR)	148290

Descriptive statistics

Standard deviation	95451.99925
Coefficient of variation (CV)	0.2172569419
Kurtosis	-0.4163682343
Mean	439350.7448
Median Absolute Deviation (MAD)	77230
Skewness	-0.3257069323
Sum	3.810805342 × 10¹¹
Variance	9111084161
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
533650	222	< 0.1%
531170	201	< 0.1%
531180	177	< 0.1%
530980	169	< 0.1%
533470	159	< 0.1%
532440	157	< 0.1%
529210	156	< 0.1%
530020	156	< 0.1%
534950	150	< 0.1%
531000	149	< 0.1%
Other values (60947)	865676	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
64950	1	< 0.1%
65350	1	< 0.1%
65670	1	< 0.1%
65690	1	< 0.1%
65860	1	< 0.1%
65950	1	< 0.1%
66710	1	< 0.1%
68290	1	< 0.1%
68880	1	< 0.1%
73760	1	< 0.1%

Value	Count	Frequency (%)
655370	2	< 0.1%
655290	1	< 0.1%
655280	2	< 0.1%
655230	2	< 0.1%
655180	1	< 0.1%
655160	1	< 0.1%
655150	2	< 0.1%
655140	1	< 0.1%
655120	4	< 0.1%
655110	5	< 0.1%

Location_Northing_OSGR
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	84077
Distinct (%)	9.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	299324.9649

Minimum	10520
Maximum	1205100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	10520
5-th percentile	104210
Q1	178530
median	266320
Q3	396910
95-th percentile	662790
Maximum	1205100
Range	1194580
Interquartile range (IQR)	218380

Descriptive statistics

Standard deviation	161294.4849
Coefficient of variation (CV)	0.5388607828
Kurtosis	0.8525991951
Mean	299324.9649
Median Absolute Deviation (MAD)	98110
Skewness	1.027835807
Sum	2.596260935 × 10¹¹
Variance	2.601591086 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
181310	237	< 0.1%
181170	205	< 0.1%
181110	192	< 0.1%
179660	188	< 0.1%
181060	184	< 0.1%
181050	179	< 0.1%
178620	179	< 0.1%
181120	175	< 0.1%
180820	170	< 0.1%
181370	170	< 0.1%
Other values (84067)	865493	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10520	1	< 0.1%
10530	2	< 0.1%
10560	1	< 0.1%
10650	1	< 0.1%
10670	1	< 0.1%
10840	1	< 0.1%
10860	1	< 0.1%
11100	1	< 0.1%
11620	1	< 0.1%
12460	1	< 0.1%

Value	Count	Frequency (%)
1205100	1	< 0.1%
1203900	1	< 0.1%
1198000	1	< 0.1%
1191700	1	< 0.1%
1191500	1	< 0.1%
1191030	1	< 0.1%
1189600	1	< 0.1%
1186100	1	< 0.1%
1183830	1	< 0.1%
1178600	1	< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	665683
Distinct (%)	76.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1.440749832

Minimum	-7.516225
Maximum	1.759398
Zeros	0
Zeros (%)	0.0%
Negative	755310
Negative (%)	87.1%
Memory size	6.6 MiB

Quantile statistics

Minimum	-7.516225
5-th percentile	-4.06497235
Q1	-2.3711
median	-1.405808
Q3	-0.21473
95-th percentile	0.5489041
Maximum	1.759398
Range	9.275623
Interquartile range (IQR)	2.15637

Descriptive statistics

Standard deviation	1.40324017
Coefficient of variation (CV)	-0.9739651807
Kurtosis	-0.3704684734
Mean	-1.440749832
Median Absolute Deviation (MAD)	1.1174075
Skewness	-0.3658904361
Sum	-1249666.063
Variance	1.969082976
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-3.310596	43	< 0.1%
-0.977611	42	< 0.1%
-3.241694	38	< 0.1%
-1.234393	33	< 0.1%
-1.871043	31	< 0.1%
-0.173445	30	< 0.1%
-1.216694	30	< 0.1%
-0.115063	29	< 0.1%
-0.077209	29	< 0.1%
-1.192286	29	< 0.1%
Other values (665673)	867038	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-7.516225	1	< 0.1%
-7.507468	1	< 0.1%
-7.507207	1	< 0.1%
-7.504121	1	< 0.1%
-7.498973	1	< 0.1%
-7.497461	1	< 0.1%
-7.49183	1	< 0.1%
-7.465609	1	< 0.1%
-7.460259	1	< 0.1%
-7.450015	1	< 0.1%

Value	Count	Frequency (%)
1.759398	1	< 0.1%
1.759382	1	< 0.1%
1.758337	1	< 0.1%
1.75819	1	< 0.1%
1.758106	1	< 0.1%
1.757915	1	< 0.1%
1.757907	1	< 0.1%
1.75651	1	< 0.1%
1.75643	1	< 0.1%
1.756347	1	< 0.1%

Latitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	638360
Distinct (%)	73.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.58186561

Minimum	49.914488
Maximum	60.724682
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	49.914488
5-th percentile	50.82470565
Q1	51.492738
median	52.2882425
Q3	53.4672835
95-th percentile	55.838292
Maximum	60.724682
Range	10.810194
Interquartile range (IQR)	1.9745455

Descriptive statistics

Standard deviation	1.452368685
Coefficient of variation (CV)	0.02762109462
Kurtosis	0.8233613321
Mean	52.58186561
Median Absolute Deviation (MAD)	0.889619
Skewness	1.01879047
Sum	45608037.94
Variance	2.109374798
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51.506693	44	< 0.1%
52.949719	42	< 0.1%
52.458798	40	< 0.1%
51.526956	38	< 0.1%
52.989857	33	< 0.1%
51.560108	32	< 0.1%
51.482076	32	< 0.1%
52.955058	30	< 0.1%
53.792423	30	< 0.1%
52.93886	30	< 0.1%
Other values (638350)	867021	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
49.914488	1	< 0.1%
49.914513	1	< 0.1%
49.914701	1	< 0.1%
49.914804	1	< 0.1%
49.91573	1	< 0.1%
49.915987	1	< 0.1%
49.917703	1	< 0.1%
49.917913	1	< 0.1%
49.920895	1	< 0.1%
49.925225	1	< 0.1%

Value	Count	Frequency (%)
60.724682	1	< 0.1%
60.714774	1	< 0.1%
60.662043	1	< 0.1%
60.605743	1	< 0.1%
60.604117	1	< 0.1%
60.598055	1	< 0.1%
60.586586	1	< 0.1%
60.555234	1	< 0.1%
60.535623	1	< 0.1%
60.48982	1	< 0.1%

Police_Force
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.53229526

Minimum	1
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	7
median	30
Q3	46
95-th percentile	94
Maximum	98
Range	97
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	25.63090547
Coefficient of variation (CV)	0.839468676
Kurtosis	0.3095302262
Mean	30.53229526
Median Absolute Deviation (MAD)	18
Skewness	0.8503063383
Sum	26482858
Variance	656.9433153
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	131752	15.2%
20	36445	4.2%
6	34731	4.0%
13	31856	3.7%
43	31679	3.7%
44	25849	3.0%
46	25747	3.0%
50	24887	2.9%
97	24438	2.8%
4	24003	2.8%
Other values (41)	475985	54.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	131752	15.2%
3	7617	0.9%
4	24003	2.8%
5	18625	2.1%
6	34731	4.0%
7	16831	1.9%
10	20032	2.3%
11	7922	0.9%
12	11789	1.4%
13	31856	3.7%

Value	Count	Frequency (%)
98	2000	0.2%
97	24438	2.8%
96	2957	0.3%
95	12288	1.4%
94	2967	0.3%
93	4377	0.5%
92	5686	0.7%
91	3382	0.4%
63	7955	0.9%
62	15965	1.8%

Accident_Severity
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

3	741142
2	114752
1	11478

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	3
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
3	741142	85.4%
2	114752	13.2%
1	11478	1.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	741142	85.4%
2	114752	13.2%
1	11478	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Number_of_Vehicles
Real number (ℝ_≥0)

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.831141655

Minimum	1
Maximum	34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	34
Range	33
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.715248083
Coefficient of variation (CV)	0.3906022677
Kurtosis	22.46545236
Mean	1.831141655
Median Absolute Deviation (MAD)	0
Skewness	1.883984657
Sum	1588281
Variance	0.5115798203
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
2	514004	59.3%
1	263812	30.4%
3	69962	8.1%
4	14611	1.7%
5	3280	0.4%
6	1019	0.1%
7	346	< 0.1%
8	165	< 0.1%
9	87	< 0.1%
10	31	< 0.1%
Other values (14)	55	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	263812	30.4%
2	514004	59.3%
3	69962	8.1%
4	14611	1.7%
5	3280	0.4%
6	1019	0.1%
7	346	< 0.1%
8	165	< 0.1%
9	87	< 0.1%
10	31	< 0.1%

Value	Count	Frequency (%)
34	1	< 0.1%
32	1	< 0.1%
29	1	< 0.1%
22	1	< 0.1%
20	2	< 0.1%
19	1	< 0.1%
18	2	< 0.1%
17	1	< 0.1%
16	2	< 0.1%
15	2	< 0.1%

Number_of_Casualties
Real number (ℝ_≥0)

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.355924563

Minimum	1
Maximum	87
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	87
Range	86
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8227847945
Coefficient of variation (CV)	0.6068072052
Kurtosis	304.897789
Mean	1.355924563
Median Absolute Deviation (MAD)	0
Skewness	7.440040159
Sum	1176091
Variance	0.676974818
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
1	662403	76.4%
2	141250	16.3%
3	40167	4.6%
4	14754	1.7%
5	5350	0.6%
6	2032	0.2%
7	700	0.1%
8	301	< 0.1%
9	132	< 0.1%
10	83	< 0.1%
Other values (29)	200	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	662403	76.4%
2	141250	16.3%
3	40167	4.6%
4	14754	1.7%
5	5350	0.6%
6	2032	0.2%
7	700	0.1%
8	301	< 0.1%
9	132	< 0.1%
10	83	< 0.1%

Value	Count	Frequency (%)
87	1	< 0.1%
63	1	< 0.1%
51	2	< 0.1%
48	1	< 0.1%
45	1	< 0.1%
43	2	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
36	2	< 0.1%

Date
Categorical

HIGH CARDINALITY

Distinct	2190
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

21/10/2005	822
18/11/2005	787
29/09/2006	784
22/09/2006	780
7/12/2005	774
Other values (2185)	863425

Length

Max length	10
Median length	10
Mean length	9.413204484
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1/1/2009
2nd row	5/1/2009
3rd row	4/1/2009
4th row	5/1/2009
5th row	6/1/2009

Common Values

Value	Count	Frequency (%)
21/10/2005	822	0.1%
18/11/2005	787	0.1%
29/09/2006	784	0.1%
22/09/2006	780	0.1%
7/12/2005	774	0.1%
1/12/2006	750	0.1%
30/09/2005	749	0.1%
9/12/2005	748	0.1%
12/10/2005	746	0.1%
19/12/2005	744	0.1%
Other values (2180)	859688	99.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21/10/2005	822	0.1%
18/11/2005	787	0.1%
29/09/2006	784	0.1%
22/09/2006	780	0.1%
7/12/2005	774	0.1%
1/12/2006	750	0.1%
30/09/2005	749	0.1%
9/12/2005	748	0.1%
12/10/2005	746	0.1%
19/12/2005	744	0.1%
Other values (2180)	859688	99.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Day_of_Week
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.12645324

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	1.926812267
Coefficient of variation (CV)	0.4669415003
Kurtosis	-1.188999884
Mean	4.12645324
Median Absolute Deviation (MAD)	2
Skewness	-0.07423389539
Sum	3579170
Variance	3.712605512
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	143377	16.5%
4	130778	15.1%
5	130008	15.0%
3	128397	14.8%
2	122229	14.1%
7	117254	13.5%
1	95329	11.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	95329	11.0%
2	122229	14.1%
3	128397	14.8%
4	130778	15.1%
5	130008	15.0%
6	143377	16.5%
7	117254	13.5%

Value	Count	Frequency (%)
7	117254	13.5%
6	143377	16.5%
5	130008	15.0%
4	130778	15.1%
3	128397	14.8%
2	122229	14.1%
1	95329	11.0%

Time
Categorical

HIGH CARDINALITY

Distinct	1439
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

17:00	8529
17:30	8031
16:00	7720
15:30	7684
18:00	7620
Other values (1434)	827788

Length

Max length	5
Median length	5
Mean length	4.764020513
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	15:11
2nd row	10:59
3rd row	14:19
4th row	8:10
5th row	17:25

Common Values

Value	Count	Frequency (%)
17:00	8529	1.0%
17:30	8031	0.9%
16:00	7720	0.9%
15:30	7684	0.9%
18:00	7620	0.9%
16:30	7411	0.9%
15:00	6775	0.8%
8:30	6772	0.8%
14:00	6218	0.7%
13:00	6205	0.7%
Other values (1429)	794407	91.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
17:00	8529	1.0%
17:30	8031	0.9%
16:00	7720	0.9%
15:30	7684	0.9%
18:00	7620	0.9%
16:30	7411	0.9%
15:00	6775	0.8%
8:30	6772	0.8%
14:00	6218	0.7%
13:00	6205	0.7%
Other values (1429)	794407	91.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Local_Authority_(District)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	416
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	350.8307036

Minimum	1
Maximum	941
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	112
median	323
Q3	531
95-th percentile	919
Maximum	941
Range	940
Interquartile range (IQR)	419

Descriptive statistics

Standard deviation	260.5504424
Coefficient of variation (CV)	0.7426671605
Kurtosis	-0.5250859616
Mean	350.8307036
Median Absolute Deviation (MAD)	209
Skewness	0.512357379
Sum	304300729
Variance	67886.53305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300	16566	1.9%
204	11304	1.3%
102	8873	1.0%
1	8861	1.0%
926	7944	0.9%
200	7829	0.9%
91	7564	0.9%
215	7444	0.9%
9	6522	0.8%
923	6399	0.7%
Other values (406)	778066	89.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	8861	1.0%
2	4940	0.6%
3	4127	0.5%
4	4806	0.6%
5	4954	0.6%
6	3701	0.4%
7	4298	0.5%
8	5328	0.6%
9	6522	0.8%
10	4323	0.5%

Value	Count	Frequency (%)
941	190	< 0.1%
940	2130	0.2%
939	1213	0.1%
938	3079	0.4%
937	1230	0.1%
936	195	< 0.1%
935	1899	0.2%
934	1820	0.2%
933	147	< 0.1%
932	3350	0.4%

Local_Authority_(Highway)
Categorical

HIGH CARDINALITY

Distinct	207
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

E10000016	22578
E10000030	21430
E10000017	19265
E10000012	18446
E10000014	17105
Other values (202)	768548

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E09000020
2nd row	E09000020
3rd row	E09000020
4th row	E09000020
5th row	E09000020

Common Values

Value	Count	Frequency (%)
E10000016	22578	2.6%
E10000030	21430	2.5%
E10000017	19265	2.2%
E10000012	18446	2.1%
E10000014	17105	2.0%
E08000025	16566	1.9%
E10000015	15744	1.8%
E10000028	13659	1.6%
E10000019	12098	1.4%
E10000024	11666	1.3%
Other values (197)	698815	80.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
e10000016	22578	2.6%
e10000030	21430	2.5%
e10000017	19265	2.2%
e10000012	18446	2.1%
e10000014	17105	2.0%
e08000025	16566	1.9%
e10000015	15744	1.8%
e10000028	13659	1.6%
e10000019	12098	1.4%
e10000024	11666	1.3%
Other values (197)	698815	80.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

1st_Road_Class
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.091354113

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3
median	4
Q3	6
95-th percentile	6
Maximum	6
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.431841987
Coefficient of variation (CV)	0.3499677484
Kurtosis	-1.063033778
Mean	4.091354113
Median Absolute Deviation (MAD)	1
Skewness	0.1056652583
Sum	3548726
Variance	2.050171475
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	393384	45.4%
6	250346	28.9%
4	109888	12.7%
5	77742	9.0%
1	33788	3.9%
2	2224	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	33788	3.9%
2	2224	0.3%
3	393384	45.4%
4	109888	12.7%
5	77742	9.0%
6	250346	28.9%

Value	Count	Frequency (%)
6	250346	28.9%
5	77742	9.0%
4	109888	12.7%
3	393384	45.4%
2	2224	0.3%
1	33788	3.9%

1st_Road_Number
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	6329
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1002.7558

Minimum	-1
Maximum	9999
Zeros	236822
Zeros (%)	27.3%
Negative	2
Negative (%)	< 0.1%
Memory size	6.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	124
Q3	709
95-th percentile	5305
Maximum	9999
Range	10000
Interquartile range (IQR)	709

Descriptive statistics

Standard deviation	1822.901827
Coefficient of variation (CV)	1.81789208
Kurtosis	3.399846986
Mean	1002.7558
Median Absolute Deviation (MAD)	124
Skewness	2.085345911
Sum	869762304
Variance	3322971.072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	236822	27.3%
1	11246	1.3%
6	9532	1.1%
4	8273	1.0%
25	5892	0.7%
5	5743	0.7%
40	5632	0.6%
38	5198	0.6%
3	4957	0.6%
23	4372	0.5%
Other values (6319)	569705	65.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	2	< 0.1%
0	236822	27.3%
1	11246	1.3%
2	3796	0.4%
3	4957	0.6%
4	8273	1.0%
5	5743	0.7%
6	9532	1.1%
7	1047	0.1%
8	2481	0.3%

Value	Count	Frequency (%)
9999	172	< 0.1%
9963	1	< 0.1%
9962	1	< 0.1%
9950	1	< 0.1%
9910	1	< 0.1%
9875	2	< 0.1%
9855	1	< 0.1%
9854	1	< 0.1%
9853	1	< 0.1%
9840	2	< 0.1%

Road_Type
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Single carriageway	648574
Dual carriageway	128842
Roundabout	57237
One way street	18525
Slip road	8932

Length

Max length	18
Median length	18
Mean length	16.93015915
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	One way street
2nd row	Single carriageway
3rd row	Single carriageway
4th row	Single carriageway
5th row	Single carriageway

Common Values

Value	Count	Frequency (%)
Single carriageway	648574	74.8%
Dual carriageway	128842	14.9%
Roundabout	57237	6.6%
One way street	18525	2.1%
Slip road	8932	1.0%
Unknown	5262	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
carriageway	777416	46.0%
single	648574	38.4%
dual	128842	7.6%
roundabout	57237	3.4%
one	18525	1.1%
way	18525	1.1%
street	18525	1.1%
slip	8932	0.5%
road	8932	0.5%
unknown	5262	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Speed_limit
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.16844791

Minimum	10
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	10
5-th percentile	30
Q1	30
median	30
Q3	50
95-th percentile	70
Maximum	70
Range	60
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.19016509
Coefficient of variation (CV)	0.3622856111
Kurtosis	-0.4569288547
Mean	39.16844791
Median Absolute Deviation (MAD)	0
Skewness	1.089020897
Sum	33973615
Variance	201.3607852
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
30	558783	64.4%
60	141667	16.3%
40	69881	8.1%
70	63628	7.3%
50	26426	3.0%
20	6970	0.8%
10	10	< 0.1%
15	7	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	10	< 0.1%
15	7	< 0.1%
20	6970	0.8%
30	558783	64.4%
40	69881	8.1%
50	26426	3.0%
60	141667	16.3%
70	63628	7.3%

Value	Count	Frequency (%)
70	63628	7.3%
60	141667	16.3%
50	26426	3.0%
40	69881	8.1%
30	558783	64.4%
20	6970	0.8%
15	7	< 0.1%
10	10	< 0.1%

Junction_Detail
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	867372
Missing (%)	100.0%
Memory size	6.6 MiB

Junction_Control
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Giveway or uncontrolled	419618
No_Junction_Control	350755
Automatic traffic signal	89941
Stop Sign	5571
Authorised person	1487

Length

Max length	24
Median length	23
Mean length	21.38593475
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Giveway or uncontrolled
2nd row	Giveway or uncontrolled
3rd row	Giveway or uncontrolled
4th row	Automatic traffic signal
5th row	Automatic traffic signal

Common Values

Value	Count	Frequency (%)
Giveway or uncontrolled	419618	48.4%
No_Junction_Control	350755	40.4%
Automatic traffic signal	89941	10.4%
Stop Sign	5571	0.6%
Authorised person	1487	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
giveway	419618	22.2%
or	419618	22.2%
uncontrolled	419618	22.2%
no_junction_control	350755	18.5%
automatic	89941	4.7%
traffic	89941	4.7%
signal	89941	4.7%
stop	5571	0.3%
sign	5571	0.3%
authorised	1487	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

2nd_Road_Class
Real number (ℝ)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.642384121

Minimum	-1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	358630
Negative (%)	41.3%
Memory size	6.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	3
Q3	6
95-th percentile	6
Maximum	6
Range	7
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.205619375
Coefficient of variation (CV)	1.213154193
Kurtosis	-1.822725238
Mean	2.642384121
Median Absolute Deviation (MAD)	3
Skewness	-0.1344922834
Sum	2291930
Variance	10.27599558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
-1	358630	41.3%
6	340640	39.3%
3	87168	10.0%
5	40530	4.7%
4	33823	3.9%
1	5888	0.7%
2	693	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	358630	41.3%
1	5888	0.7%
2	693	0.1%
3	87168	10.0%
4	33823	3.9%
5	40530	4.7%
6	340640	39.3%

Value	Count	Frequency (%)
6	340640	39.3%
5	40530	4.7%
4	33823	3.9%
3	87168	10.0%
2	693	0.1%
1	5888	0.7%
-1	358630	41.3%

2nd_Road_Number
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	6670
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	381.583979

Minimum	-1
Maximum	9999
Zeros	669327
Zeros (%)	77.2%
Negative	9146
Negative (%)	1.1%
Memory size	6.6 MiB

Quantile statistics

Minimum	-1
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	3408
Maximum	9999
Range	10000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1305.236884
Coefficient of variation (CV)	3.420575694
Kurtosis	16.99951133
Mean	381.583979
Median Absolute Deviation (MAD)	0
Skewness	4.094705262
Sum	330975259
Variance	1703643.323
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	669327	77.2%
-1	9146	1.1%
1	2119	0.2%
4	1713	0.2%
6	1675	0.2%
40	1219	0.1%
5	1084	0.1%
3	1075	0.1%
38	1050	0.1%
7201	1042	0.1%
Other values (6660)	177922	20.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	9146	1.1%
0	669327	77.2%
1	2119	0.2%
2	576	0.1%
3	1075	0.1%
4	1713	0.2%
5	1084	0.1%
6	1675	0.2%
7	197	< 0.1%
8	517	0.1%

Value	Count	Frequency (%)
9999	386	< 0.1%
9965	1	< 0.1%
9962	1	< 0.1%
9932	1	< 0.1%
9931	1	< 0.1%
9898	1	< 0.1%
9874	1	< 0.1%
9862	1	< 0.1%
9838	1	< 0.1%
9832	3	< 0.1%

Pedestrian_Crossing-Human_Control
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

None within 50 metres	862178
Control by other authorised person	3084
Control by school crossing patrol	2110

Length

Max length	34
Median length	21
Mean length	21.07541401
Min length	21

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None within 50 metres
2nd row	None within 50 metres
3rd row	None within 50 metres
4th row	None within 50 metres
5th row	None within 50 metres

Common Values

Value	Count	Frequency (%)
None within 50 metres	862178	99.4%
Control by other authorised person	3084	0.4%
Control by school crossing patrol	2110	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
none	862178	24.8%
within	862178	24.8%
50	862178	24.8%
metres	862178	24.8%
control	5194	0.1%
by	5194	0.1%
other	3084	0.1%
authorised	3084	0.1%
person	3084	0.1%
school	2110	0.1%
Other values (2)	4220	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Pedestrian_Crossing-Physical_Facilities
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

No physical crossing within 50 meters	726800
Pedestrian phase at traffic signal junction	56767
non-junction pedestrian crossing	44220
Zebra crossing	22687
Central refuge	14528

Length

Max length	43
Median length	37
Mean length	36.10449842
Min length	14

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No physical crossing within 50 meters
2nd row	Zebra crossing
3rd row	No physical crossing within 50 meters
4th row	Pedestrian phase at traffic signal junction
5th row	No physical crossing within 50 meters

Common Values

Value	Count	Frequency (%)
No physical crossing within 50 meters	726800	83.8%
Pedestrian phase at traffic signal junction	56767	6.5%
non-junction pedestrian crossing	44220	5.1%
Zebra crossing	22687	2.6%
Central refuge	14528	1.7%
Footbridge or subway	2370	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
crossing	793707	16.1%
no	726800	14.8%
physical	726800	14.8%
within	726800	14.8%
50	726800	14.8%
meters	726800	14.8%
pedestrian	100987	2.1%
junction	56767	1.2%
signal	56767	1.2%
traffic	56767	1.2%
Other values (9)	216607	4.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Light_Conditions
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Daylight: Street light present	635352
Darkness: Street lights present and lit	172034
Darkeness: No street lighting	48722
Darkness: Street lighting unknown	7594
Darkness: Street lights present but unlit	3670

Length

Max length	41
Median length	30
Mean length	31.80169062
Min length	29

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Daylight: Street light present
2nd row	Daylight: Street light present
3rd row	Daylight: Street light present
4th row	Daylight: Street light present
5th row	Darkness: Street lights present and lit

Common Values

Value	Count	Frequency (%)
Daylight: Street light present	635352	73.3%
Darkness: Street lights present and lit	172034	19.8%
Darkeness: No street lighting	48722	5.6%
Darkness: Street lighting unknown	7594	0.9%
Darkness: Street lights present but unlit	3670	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
street	867372	22.7%
present	811056	21.2%
daylight	635352	16.6%
light	635352	16.6%
darkness	183298	4.8%
lights	175704	4.6%
and	172034	4.5%
lit	172034	4.5%
lighting	56316	1.5%
darkeness	48722	1.3%
Other values (4)	63656	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Weather_Conditions
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Fine without high winds	695531
Raining without high winds	98724
Other	21309
Unknown	16222
Fine with high winds	10859
Other values (4)	24727

Length

Max length	26
Median length	23
Mean length	22.52156745
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fine without high winds
2nd row	Fine without high winds
3rd row	Fine without high winds
4th row	Other
5th row	Fine without high winds

Common Values

Value	Count	Frequency (%)
Fine without high winds	695531	80.2%
Raining without high winds	98724	11.4%
Other	21309	2.5%
Unknown	16222	1.9%
Fine with high winds	10859	1.3%
Raining with high winds	10782	1.2%
Snowing without high winds	7928	0.9%
Fog or mist	4937	0.6%
Snowing with high winds	1080	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
high	824904	24.6%
winds	824904	24.6%
without	802183	23.9%
fine	706390	21.1%
raining	109506	3.3%
with	22721	0.7%
other	21309	0.6%
unknown	16222	0.5%
snowing	9008	0.3%
fog	4937	0.1%
Other values (2)	9874	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Road_Surface_Conditions
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Dry	598877
Wet/Damp	239644
Frost/Ice	20727
Snow	7148
Flood (Over 3cm of water)	976

Length

Max length	25
Median length	3
Mean length	4.557811412
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dry
2nd row	Wet/Damp
3rd row	Dry
4th row	Frost/Ice
5th row	Dry

Common Values

Value	Count	Frequency (%)
Dry	598877	69.0%
Wet/Damp	239644	27.6%
Frost/Ice	20727	2.4%
Snow	7148	0.8%
Flood (Over 3cm of water)	976	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
dry	598877	68.7%
wet/damp	239644	27.5%
frost/ice	20727	2.4%
snow	7148	0.8%
flood	976	0.1%
over	976	0.1%
3cm	976	0.1%
of	976	0.1%
water	976	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Special_Conditions_at_Site
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

None	845719
Roadworks	10308
Ol or diesel	3107
Mud	2606
Road surface defective	2163
Other values (3)	3469

Length

Max length	47
Median length	4
Mean length	4.250095691
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	845719	97.5%
Roadworks	10308	1.2%
Ol or diesel	3107	0.4%
Mud	2606	0.3%
Road surface defective	2163	0.2%
Auto traffic singal out	1654	0.2%
Permanent sign or marking defective or obscured	1336	0.2%
Auto traffic signal partly defective	479	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
none	845719	94.7%
roadworks	10308	1.2%
or	5779	0.6%
defective	3978	0.4%
ol	3107	0.3%
diesel	3107	0.3%
mud	2606	0.3%
road	2163	0.2%
surface	2163	0.2%
traffic	2133	0.2%
Other values (9)	11743	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Carriageway_Hazards
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

None	851300
Other object in carriageway	7092
Any animal (except a ridden horse)	4685
Pedestrian in carriageway (not injured)	1950
Involvement with previous accident	1395

Length

Max length	39
Median length	4
Mean length	4.513177737
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	851300	98.1%
Other object in carriageway	7092	0.8%
Any animal (except a ridden horse)	4685	0.5%
Pedestrian in carriageway (not injured)	1950	0.2%
Involvement with previous accident	1395	0.2%
Dislodged vehicle load in carriageway	950	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
none	851300	91.7%
in	9992	1.1%
carriageway	9992	1.1%
object	7092	0.8%
other	7092	0.8%
a	4685	0.5%
ridden	4685	0.5%
horse	4685	0.5%
except	4685	0.5%
animal	4685	0.5%
Other values (11)	18965	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Urban_or_Rural_Area
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

1	559565
2	307776
3	31

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	559565	64.5%
2	307776	35.5%
3	31	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	559565	64.5%
2	307776	35.5%
3	31	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Did_Police_Officer_Attend_Scene_of_Accident
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	2128
Missing (%)	0.2%
Memory size	1.7 MiB

True	699234
False	166010
(Missing)	2128

Common Values
Chart

Value	Count	Frequency (%)
True	699234	80.6%
False	166010	19.1%
(Missing)	2128	0.2%

LSOA_of_Accident_Location
Categorical

HIGH CARDINALITY
MISSING

Distinct	34140
Distinct (%)	4.2%
Missing	58466
Missing (%)	6.7%
Memory size	6.6 MiB

E01000004	1749
E01011365	921
E01004736	812
E01004764	702
E01008440	676
Other values (34135)	804046

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	580 ?
Unique (%)	0.1%

Sample

1st row	E01002882
2nd row	E01002886
3rd row	E01002912
4th row	E01002871
5th row	E01002840

Common Values

Value	Count	Frequency (%)
E01000004	1749	0.2%
E01011365	921	0.1%
E01004736	812	0.1%
E01004764	702	0.1%
E01008440	676	0.1%
E01005131	592	0.1%
E01002444	522	0.1%
E01001771	455	0.1%
E01018648	448	0.1%
E01023722	441	0.1%
Other values (34130)	801588	92.4%
(Missing)	58466	6.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
e01000004	1749	0.2%
e01011365	921	0.1%
e01004736	812	0.1%
e01004764	702	0.1%
e01008440	676	0.1%
e01005131	592	0.1%
e01002444	522	0.1%
e01001771	455	0.1%
e01018648	448	0.1%
e01023722	441	0.1%
Other values (34130)	801588	99.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Year
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2007.933542

Minimum	2005
Maximum	2011
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.6 MiB

Quantile statistics

Minimum	2005
5-th percentile	2005
Q1	2006
median	2009
Q3	2010
95-th percentile	2011
Maximum	2011
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.326534405
Coefficient of variation (CV)	0.00115867102
Kurtosis	-1.670700666
Mean	2007.933542
Median Absolute Deviation (MAD)	2
Skewness	-0.04228736391
Sum	1741625332
Variance	5.412762339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2005	198634	22.9%
2006	189126	21.8%
2009	163536	18.9%
2010	154406	17.8%
2011	151458	17.5%
2007	10212	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2005	198634	22.9%
2006	189126	21.8%
2007	10212	1.2%
2009	163536	18.9%
2010	154406	17.8%
2011	151458	17.5%

Value	Count	Frequency (%)
2011	151458	17.5%
2010	154406	17.8%
2009	163536	18.9%
2007	10212	1.2%
2006	189126	21.8%
2005	198634	22.9%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Accident_Index	Location_Easting_OSGR	Location_Northing_OSGR	Longitude	Latitude	Police_Force	Accident_Severity	Number_of_Vehicles	Number_of_Casualties	Date	Day_of_Week	Time	Local_Authority_(District)	Local_Authority_(Highway)	1st_Road_Class	1st_Road_Number	Road_Type	Speed_limit	Junction_Detail	Junction_Control	2nd_Road_Class	2nd_Road_Number	Pedestrian_Crossing-Human_Control	Pedestrian_Crossing-Physical_Facilities	Light_Conditions	Weather_Conditions	Road_Surface_Conditions	Special_Conditions_at_Site	Carriageway_Hazards	Urban_or_Rural_Area	Did_Police_Officer_Attend_Scene_of_Accident	LSOA_of_Accident_Location	Year
0	200901BS70001	524910.0	180800.0	-0.201349	51.512273	1	2	2	1	1/1/2009	5	15:11	12	E09000020	6	0	One way street	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01002882	2009
1	200901BS70002	525050.0	181040.0	-0.199248	51.514399	1	2	2	11	5/1/2009	2	10:59	12	E09000020	5	0	Single carriageway	30	NaN	Giveway or uncontrolled	5	0	None within 50 metres	Zebra crossing	Daylight: Street light present	Fine without high winds	Wet/Damp	None	None	1	Yes	E01002886	2009
2	200901BS70003	526490.0	177990.0	-0.179599	51.486668	1	3	2	1	4/1/2009	1	14:19	12	E09000020	3	308	Single carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01002912	2009
3	200901BS70004	524800.0	180300.0	-0.203110	51.507804	1	2	2	1	5/1/2009	2	8:10	12	E09000020	3	402	Single carriageway	30	NaN	Automatic traffic signal	4	450	None within 50 metres	Pedestrian phase at traffic signal junction	Daylight: Street light present	Other	Frost/Ice	None	None	1	Yes	E01002871	2009
4	200901BS70005	526930.0	177490.0	-0.173445	51.482076	1	2	2	1	6/1/2009	3	17:25	12	E09000020	3	3212	Single carriageway	30	NaN	Automatic traffic signal	3	3220	None within 50 metres	No physical crossing within 50 meters	Darkness: Street lights present and lit	Fine without high winds	Dry	None	None	1	Yes	E01002840	2009
5	200901BS70006	526060.0	178730.0	-0.185525	51.493415	1	3	2	3	1/1/2009	5	11:48	12	E09000020	6	0	Single carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01002839	2009
6	200901BS70007	526580.0	177270.0	-0.178561	51.480177	1	2	2	1	8/1/2009	5	13:58	12	E09000020	3	3220	Single carriageway	30	NaN	Giveway or uncontrolled	3	3220	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01002841	2009
7	200901BS70008	526550.0	178580.0	-0.178524	51.491957	1	3	1	1	2/1/2009	6	13:18	12	E09000020	5	0	Dual carriageway	30	NaN	Automatic traffic signal	3	3218	None within 50 metres	Pedestrian phase at traffic signal junction	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01002835	2009
8	200901BS70009	527310.0	179100.0	-0.167395	51.496460	1	3	1	2	7/1/2009	4	12:15	12	E09000020	6	0	Single carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01002819	2009
9	200901BS70010	526250.0	177370.0	-0.183275	51.481150	1	3	1	1	10/1/2009	7	9:52	12	E09000020	3	308	Single carriageway	30	NaN	Automatic traffic signal	3	3220	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Other	Wet/Damp	Roadworks	None	1	Yes	E01002843	2009

Last rows

	Accident_Index	Location_Easting_OSGR	Location_Northing_OSGR	Longitude	Latitude	Police_Force	Accident_Severity	Number_of_Vehicles	Number_of_Casualties	Date	Day_of_Week	Time	Local_Authority_(District)	Local_Authority_(Highway)	1st_Road_Class	1st_Road_Number	Road_Type	Speed_limit	Junction_Detail	Junction_Control	2nd_Road_Class	2nd_Road_Number	Pedestrian_Crossing-Human_Control	Pedestrian_Crossing-Physical_Facilities	Light_Conditions	Weather_Conditions	Road_Surface_Conditions	Special_Conditions_at_Site	Carriageway_Hazards	Urban_or_Rural_Area	Did_Police_Officer_Attend_Scene_of_Accident	LSOA_of_Accident_Location	Year
867362	200701MD68578	533950.0	171420.0	-0.074704	51.425910	1	2	2	1	31/12/2007	2	1:15	8	E09000028	3	212	Dual carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Darkness: Street lights present and lit	Fine without high winds	Wet/Damp	None	None	1	Yes	E01003948	2007
867363	200701MD68647	532660.0	180170.0	-0.089967	51.504847	1	3	2	1	15/12/2007	7	13:40	8	E09000028	3	3	Single carriageway	30	NaN	Automatic traffic signal	3	3200	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01003929	2007
867364	200701MD68794	534840.0	177530.0	-0.059583	51.480607	1	2	2	1	12/7/2007	5	8:29	8	E09000028	3	2	Single carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Other	Dry	None	None	1	Yes	E01003988	2007
867365	200701MD68800	532460.0	176980.0	-0.094043	51.476226	1	3	2	1	5/7/2007	5	0:01	8	E09000028	3	215	Single carriageway	30	NaN	Automatic traffic signal	6	0	None within 50 metres	Pedestrian phase at traffic signal junction	Darkness: Street lights present and lit	Raining without high winds	Wet/Damp	None	None	1	No	E01003921	2007
867366	200701MD68803	535180.0	177340.0	-0.054762	51.478818	1	3	1	1	20/07/2007	6	12:30	8	E09000028	5	0	Dual carriageway	30	NaN	Giveway or uncontrolled	3	2	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Raining without high winds	Wet/Damp	None	None	1	Yes	E01003984	2007
867367	200701MD68807	531780.0	178620.0	-0.103217	51.491123	1	2	2	1	11/5/2007	6	7:53	8	E09000028	3	3	Single carriageway	30	NaN	Automatic traffic signal	3	3204	None within 50 metres	Pedestrian phase at traffic signal junction	Daylight: Street light present	Fine without high winds	Dry	None	None	1	No	E01003110	2007
867368	200701MD68808	532110.0	177000.0	-0.099072	51.476488	1	3	2	1	15/05/2007	3	9:00	8	E09000028	3	202	Single carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01003919	2007
867369	200701MD68812	532390.0	173070.0	-0.096513	51.441104	1	3	2	1	17/05/2007	5	20:55	9	E09000022	5	0	Single carriageway	30	NaN	Giveway or uncontrolled	6	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Unknown	Dry	None	None	1	No	E01003170	2007
867370	200701MD68824	531950.0	180250.0	-0.100161	51.505732	1	3	2	1	8/5/2007	3	17:50	8	E09000028	3	3200	Single carriageway	30	NaN	No_Junction_Control	-1	0	None within 50 metres	No physical crossing within 50 meters	Daylight: Street light present	Fine with high winds	Dry	None	None	1	Yes	E01003927	2007
867371	200701MD68851	533630.0	179100.0	-0.076404	51.495003	1	2	1	1	14/11/2007	4	10:45	8	E09000028	3	2206	Single carriageway	30	NaN	Giveway or uncontrolled	5	0	None within 50 metres	Zebra crossing	Daylight: Street light present	Fine without high winds	Dry	None	None	1	Yes	E01003978	2007

Overview

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Pie chart

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Most frequent character per block

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Most occurring characters

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Most occurring scripts

Most frequent character per script

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Most frequent character per block

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Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

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Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length